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Flexible Business Data Analyst Jobs (NOW HIRING)

Job Title- Business Data Analyst Location- Philadelphia, PA (Hybrid) Duration- 06 Months (C2H Position) Visa- USC/GC/EAD Job Details: The Business Data Analyst role on the EIM - Data Warehouse team ...

Job Title Business Data Analyst About your role: You will serve as a business data analyst supporting strategic planning, operating reviews, leadership reporting, and executive materials. You will ...

Business & Data Analyst Location : Atlanta, GA Duration : Fulltime Client : NCR Corporation Rate : $90k / Annum 2-7 years' experience in business and data analytics Bachelor's/Master's degree in ...

Business & Data Analyst Location : Atlanta, GA Duration : Fulltime Client : NCR Corporation Rate : $90k / Annum 2-7 years' experience in business and data analytics Bachelor's/Master's degree in ...

We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements • Minimum 4+ years of recent hands-on experience with Texas HHSC ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements Minimum 4+ years of recent hands-on experience with Texas HHSC Direct ...

PlanIT Group, LLC is a company focused on data solutions, and they are seeking a Business Data Analyst. The role involves performing data discovery, conducting analysis for source to target mapping ...

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Flexible Business Data Analyst information

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How much do flexible business data analyst jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for flexible business data analyst in the United States is $45.45, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $53.37 per hour, depending on experience, location, and employer.

What is the difference between Flexible Business Data Analyst vs Business Data Analyst?

AspectFlexible Business Data AnalystBusiness Data Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Business, Data Analytics, or related field; certifications like CAP, Microsoft Certified Data Analyst
Work EnvironmentFlexible hours, remote or hybrid options, project-based tasksTypically office-based, standard hours, project-focused
Employer & Industry UsageUsed across industries like finance, marketing, consulting with flexible work policiesCommon in corporate, finance, and consulting sectors with traditional work setups

The Flexible Business Data Analyst and Business Data Analyst roles share similar credentials and industry usage. The key difference lies in work flexibility, with the flexible role offering remote, part-time, or project-based work options, whereas the standard Business Data Analyst typically works in a traditional office setting with fixed hours.

What is a flexible business data analyst?

A Flexible Business Data Analyst is a professional who analyzes and interprets business data to help organizations make informed decisions, while also having the ability to adapt to various projects, industries, or work environments. This flexibility may refer to working across different departments, handling a range of data analysis tasks, or working remotely or with flexible hours. The role typically involves collecting, cleaning, and analyzing data, creating reports, and communicating findings to stakeholders to support business objectives.

What are the key skills and qualifications needed to thrive as a flexible business data analyst, and why are they important?

A Flexible Business Data Analyst needs strong analytical abilities, proficiency in data interpretation, and usually a degree in business, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, Excel, and sometimes certifications in analytics or project management are commonly required. Excellent communication, problem-solving, and adaptability help analysts translate complex data into actionable business insights and collaborate with diverse teams. These skills enable effective decision-making and strategic planning, crucial for driving organizational success in dynamic environments.

How does the flexible aspect of a flexible business data analyst role impact day-to-day work and collaboration with other teams?

As a Flexible Business Data Analyst, you may have the opportunity to work remotely, on varied schedules, or across different business units depending on project needs. This flexibility often means adapting quickly to shifting priorities and collaborating with cross-functional teams in different locations or time zones. It's important to maintain clear communication and proactively manage your tasks to ensure alignment with project goals. The flexible nature of the role can foster autonomy and a wider range of experiences, but also requires strong organizational and interpersonal skills to stay effective and connected with colleagues.
More about Flexible Business Data Analyst jobs
What cities are hiring for Flexible Business Data Analyst jobs? Cities with the most Flexible Business Data Analyst job openings:
What are the most commonly searched types of Business Data Analyst jobs? The most popular types of Business Data Analyst jobs are:
What states have the most Flexible Business Data Analyst jobs? States with the most job openings for Flexible Business Data Analyst jobs include:
What job categories do people searching Flexible Business Data Analyst jobs look for? The top searched job categories for Flexible Business Data Analyst jobs are:
Infographic showing various Flexible Business Data Analyst job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $94,537 per year, or $45.5 per hour.

Business Data Analyst

Kanak Elite Services Inc

Wilmington, DE • On-site

Contractor

Re-posted 14 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Business Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Business Data Analyst

Location          : Wilmington, DE Hybrid (4 days on-site)

Duration         : 6-18mth+

Must Have:

  • 7+ yr exp as Business Data Analyst
  • 4+yr PowerBI
  • Excellent communication
  • Pharma industry exp is a plus
  • LinkedIn Page

Business Data Analyst 
Reporting to the IT Director of Data Products and Analytics, the Business Analyst Manager will manage the development of high priority data analytics projects that ultimately improve Incyte’s ability to produce positive patient outcomes. This role will have high visibility from business and IT leadership and will have a direct impact on Incyte’s strategic initiative to build out a modern data lake platform.
This role is part of a rapidly growing team: the successful candidate will have opportunities for expanding responsibility and shaping the future vision of how data and AI are used at Incyte. The ideal candidate has a blend of Business Analysis (driving requirements, stakeholder enagement, etc) data analytics technical experiences (powerBI / moderate level) leadership ability, and relevant subject matter knowledge. The ideal candidate is comfortable working in a dynamic fast-paced environment and highly motivated to grow in responsibility as the team grows, including opportunities for direct people management. This position is hybrid with expectation to be in office 4 days per week in Wilmington, DE.
Responsibilities
• Drive technical solutions based on business requirements in alignment with IT architecture standards and processes.
• Define (as a BA) and drive the Dev/Design of relational models developing semantic relationships between tables and entities based on requirement gathering and interaction with stakeholders.
• Convert business requirements and problem statements into actionable code delivering ETL/ ELT data transformation, using notebook-based development using PySpark.  (relaying requirements to Tech teams etc)